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AI Researcher

BeyondMathGenerative Physics company
London, United KingdomSenior
Cambridge Innovation Capital
UP.Partners
Insight Partners logo
Insight Partners
InMotion Ventures
Acrew Capital logo
Acrew Capital
Builders VC
Data & AI

About the role

TL;DR

Lead the research and development of novel ML architectures for solving complex PDEs.

  • As a Senior AI Researcher, you will lead the research and development of novel ML architectures designed to solve complex PDEs including aerodynamic simulations.
  • Key Responsibilities Architect Physics-AI Foundations: Lead the research and development of novel ML architectures designed to solve complex PDEs including aerodynamic simulations.
  • Bridge Research & Production: Translate high-level mathematical concepts into clean, high-performance code.
  • Advance Geometry Representation: Pioneer new ways to represent complex geometric design variations for efficient use in deep learning models.
  • Strategic Leadership: Mentor junior researchers and engineers.
  • Help define our internal research standards, reproducibility pipelines, and HPC infrastructure requirements.
  • External Impact: Represent BeyondMath in the global AI community.
  • Publish influential research at top-tier conferences.
  • Cross-Functional Collaboration: Partner with CFD specialists and software engineers to ensure our models respect physical constraints while maintaining the speed advantages of neural networks.
  • Requirements PhD or MSc in Computer Science, Physics, Mathematics, or a related quantitative field. 5+ years of post-grad experience in AI/ML research, with a demonstrable track record of models made it from the lab into production environments.
  • Deep Technical Mastery: Expert-level proficiency in PyTorch, JAX, or TensorFlow, with a focus on building custom layers, loss functions, and optimization loops.
  • Published Excellence: A strong record of high-quality publications in top-tier venues.
  • Systems Thinking: Experience with scalable training infrastructure, including distributed training across GPU clusters and data pipeline automation.
View original posting →

Required skills

PyTorchJAXTensorFlowC++

Domain expertise

aerospaceautomotivecleantech

Tech stack

PyTorchJAXTensorFlowC++

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